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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 3567
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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values or performance metrics in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.71
    abouts
    -0.71
     residences
    -0.67
     Hancock
    -0.65
     spokes
    -0.65
     Breed
    -0.64
     pursued
    -0.64
     prosec
    -0.62
    .""
    -0.62
     estranged
    -0.61
    POSITIVE LOGITS
    Installation
    1.12
    Example
    1.08
    Lua
    1.07
    Usage
    1.05
    Python
    1.05
    API
    1.04
    iOS
    1.02
    Async
    1.02
    Database
    0.99
    JSON
    0.99
    Activations Density 0.244%

    No Known Activations